PETSc 3.16¶
PETSc, the Portable, Extensible Toolkit for Scientific Computation, pronounced PET-see (/ˈpɛt-siː/), is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It supports MPI, and GPUs through CUDA, HIP or OpenCL, as well as hybrid MPI-GPU parallelism; it also supports the NEC-SX Tsubasa Vector Engine. PETSc (sometimes called PETSc/TAO) also contains the TAO, the Toolkit for Advanced Optimization, software library.
PETSc is developed as open-source, requests and contributions are welcome.
News¶
News: New Book on PETSc
PETSc for Partial Differential Equations: Numerical Solutions in C and Python, by Ed Bueler, is available.
News: New paper on PETSc communication System
News: New paper on PETSc with GPUs
Toward Performance-Portable PETSc for GPU-based Exascale Systems
News: petsc4py Support
Source code for petsc4py, developed by Lisandro Dalcin, is now distributed with the PETSc source and supported by the PETSc team and mailing lists.
Main Topics¶
Citing PETSc¶
When citing PETSc in a publication please cite the following:
@Misc{petsc-web-page,
Author = "Satish Balay and Shrirang Abhyankar and Mark~F. Adams and Steven Benson and Jed Brown
and Peter Brune and Kris Buschelman and Emil~M. Constantinescu and Lisandro Dalcin and Alp Dener
and Victor Eijkhout and William~D. Gropp and V\'{a}clav Hapla and Tobin Isaac and Pierre Jolivet
and Dmitry Karpeev and Dinesh Kaushik and Matthew~G. Knepley and Fande Kong and Scott Kruger
and Dave~A. May and Lois Curfman McInnes and Richard Tran Mills and Lawrence Mitchell and Todd Munson
and Jose~E. Roman and Karl Rupp and Patrick Sanan and Jason Sarich and Barry~F. Smith
and Stefano Zampini and Hong Zhang and Hong Zhang and Junchao Zhang",
Title = "{PETS}c {W}eb page",
Note = "https://petsc.org/",
Year = "2021"}
@TechReport{petsc-user-ref,
Author = "Satish Balay and Shrirang Abhyankar and Mark~F. Adams and Steven Benson and Jed Brown
and Peter Brune and Kris Buschelman and Emil Constantinescu and Lisandro Dalcin and Alp Dener
and Victor Eijkhout and William~D. Gropp and V\'{a}clav Hapla and Tobin Isaac and Pierre Jolivet
and Dmitry Karpeev and Dinesh Kaushik and Matthew~G. Knepley and Fande Kong and Scott Kruger
and Dave~A. May and Lois Curfman McInnes and Richard Tran Mills and Lawrence Mitchell and Todd Munson
and Jose~E. Roman and Karl Rupp and Patrick Sanan and Jason Sarich and Barry~F. Smith
and Stefano Zampini and Hong Zhang and Hong Zhang and Junchao Zhang",
Title = "{PETSc/TAO} Users Manual",
Number = "ANL-21/39 - Revision 3.16",
Institution = "Argonne National Laboratory",
Year = "2021"}
@InProceedings{petsc-efficient,
Author = "Satish Balay and William D. Gropp and Lois Curfman McInnes and Barry F. Smith",
Title = "Efficient Management of Parallelism in Object Oriented
Numerical Software Libraries",
Booktitle = "Modern Software Tools in Scientific Computing",
Editor = "E. Arge and A. M. Bruaset and H. P. Langtangen",
Pages = "163--202",
Publisher = "Birkhauser Press",
Year = "1997"}
If you use the TS component of PETSc please cite the following:
@article{abhyankar2018petsc,
title={PETSc/TS: A Modern Scalable ODE/DAE Solver Library},
author={Abhyankar, Shrirang and Brown, Jed and Constantinescu, Emil M. and Ghosh, Debojyoti and Smith, Barry F. and Zhang, Hong},
journal={arXiv preprint arXiv:1806.01437},
year={2018}
}
If you utilize the TS adjoint solver please cite
@article{zhang2019,
author = {Zhang, Hong and Constantinescu, Emil M. and Smith, Barry F.},
title = {{{PETSc TSAdjoint: a discrete adjoint ODE solver for first-order and second-order sensitivity analysis}},
journal = {arXiv e-preprints},
eprint = {1912.07696},
archivePrefix = {arXiv},
year={2019}
}